Toward a resilient and smart city: Analysis on enablers for smart city resilience using an integrated DEMATEL-ISM-ANP method

被引:0
|
作者
Li, Rui
Lu, Yi [1 ,2 ,3 ]
机构
[1] Sichuan Univ, Business Sch, South Sect 1 24, Yihuan Rd, Chengdu, Peoples R China
[2] Sichuan Univ, Inst Disaster Management & Reconstruct, Hong Kong Polytech Univ, Chengdu, Peoples R China
[3] Sichuan Univ, Inst Emergency Management, Chengdu, Peoples R China
关键词
Smart city; Urban resilience; Enablers; Influencing interrelationships; DEMATEL-ISM-ANP; SUSTAINABLE CITIES; DECISION-MAKING; FRAMEWORK; MODEL; NETWORK; GOVERNANCE; TECHNOLOGIES; INTERNET; THINGS; PLACE;
D O I
10.1016/j.techfore.2025.124081
中图分类号
F [经济];
学科分类号
02 ;
摘要
An integrated strategy that incorporates both smartness and resilience is critical to achieving long-term urban sustainability. A smart city brings both challenges and opportunities for resilience, making the improvement of smart city resilience a key goal in many countries today. This study extracts 21 key enablers that can drive smart city resilience through a literature review and expert opinions, and examines their interrelationships, hierarchies, and priorities by integrating decision making trial and evaluation laboratory, interpretive structural modeling, and analytic network process methods (DEMATEL-ISM-ANP) into a relational model. The results show that financial resource allocation should be prioritized in short-term strategies to support open innovation platform building, ecological protection and disaster risk reduction actions to improve the infrastructural, social, economic and environmental resilience of smart cities. Data reliability, and smart and networked infrastructure are the main transmission enablers, facilitated through technology and governance. Data security, environmental protection, and sustainable resource management are key direct enablers for long-term strategy, facilitated from the bottom up in the structural hierarchy. This research can guide public authorities, practitioners, and academics seeking to advance smart city resilience, and contributes to the building of smart and resilient cities.
引用
收藏
页数:16
相关论文
共 50 条
  • [21] Smart City Maturity Level Analysis Using ITIL Framework
    Nur, Muhammad
    Batmetan, Johan Reimon
    Manggopa, Hizkia Kamang
    PROCEEDINGS OF THE 5TH UPI INTERNATIONAL CONFERENCE ON TECHNICAL AND VOCATIONAL EDUCATION AND TRAINING (ICTVET 2018), 2018, 299 : 243 - 247
  • [22] Identifying and Evaluating Factors Affecting User Privacy in the Smart City Using the Meta-Synthesis Method and the Fuzzy Dematel Technique
    Bagheri, Ruhollah
    Nezhad, Mahmoud Zahedian
    Rizi, Mohammad Hosein Panahi
    Sadri, Mosayeb
    INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY & DECISION MAKING, 2024, 23 (04) : 1671 - 1702
  • [23] Toward Sustainable Governance: Strategic Analysis of the Smart City Seoul Portal in Korea
    Yoo, Yejin
    SUSTAINABILITY, 2021, 13 (11)
  • [24] EVALUATION CRITERIA OF SMART CITY MOBILITY SYSTEM USING MCDM METHOD
    Zapolskyte, Simona
    Burinskiene, Marija
    Trepanier, Martin
    BALTIC JOURNAL OF ROAD AND BRIDGE ENGINEERING, 2020, 15 (04): : 196 - 224
  • [25] Development of a smart city planning support tool using the cooperative method
    Kobayashi, Takeshi
    Ikaruga, Shinji
    FRONTIERS OF ARCHITECTURAL RESEARCH, 2015, 4 (04) : 277 - 284
  • [26] Development of a smart city planning support tool using the cooperative method
    Takeshi Kobayashi
    Shinji Ikaruga
    Frontiers of Architectural Research, 2015, 4 (04) : 277 - 284
  • [27] Optimising smart city evaluation: A people-oriented analysis method
    Fang, Yufei
    Shan, Zhiguang
    IET SMART CITIES, 2024, 6 (01) : 41 - 53
  • [28] Application And Validity Analysis of IoT In Smart City Based On Entropy Method
    Liu, Yejin
    Ye, Min
    APPLIED ARTIFICIAL INTELLIGENCE, 2023, 37 (01)
  • [29] CURRENT STATUS OF SMART CITY RESEARCHES IN CHINA USING THE CO-WORD ANALYSIS METHOD
    Cui, Qinghong
    Kan, Hongsheng
    Zhao, Jinxian
    Shen, Jianhong
    Xue, Kai
    4TH INTERNATIONAL CONFERENCE ON SMART AND SUSTAINABLE CITY (ICSSC 2017), 2017, : 152 - 157
  • [30] A Comprehensive Analysis for Crime Prediction in Smart City Using R Programming
    Garg, Rahul
    Malik, Arun
    Raj, Gaurav
    PROCEEDINGS OF THE 8TH INTERNATIONAL CONFERENCE CONFLUENCE 2018 ON CLOUD COMPUTING, DATA SCIENCE AND ENGINEERING, 2018, : 514 - 519